Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNJ_2017-10-06_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGJ_2017-12-31_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLK_2018-02-26_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HLK_2018-03-28_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HLH_2018-04-24_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMK_2018-05-24_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-13_final.stac-item
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2018-07-13_final.stac-item
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGM_2018-08-01_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-09-27_final.stac-item
2018-11-19 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-19_final.stac-item
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final.stac-item
2019-01-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-01-08_final.stac-item
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-01-15_final.stac-item
2019-01-18 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2019-01-18_final.stac-item
2019-02-04 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-02-04_final.stac-item
2019-02-08 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2019-02-08_final.stac-item
2019-02-24 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-02-24_final.stac-item
2019-11-14 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2019-11-14_final.stac-item
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final.stac-item
2019-12-01 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-01_final.stac-item
2019-12-01 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-01_final.stac-item
2020-01-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-17_final.stac-item
2020-02-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-02-09_final.stac-item
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final.stac-item
2020-02-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final.stac-item
2020-04-06 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2020-04-06_final.stac-item
2020-04-06 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-04-06_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final.stac-item
2020-06-11 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-06-11_final.stac-item
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final.stac-item
2020-07-02 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2020-07-02_final.stac-item
2020-08-21 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-08-21_final.stac-item
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final.stac-item
2020-11-29 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2020-11-29_final.stac-item
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final.stac-item
2021-01-04 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-01-04_final.stac-item
2021-01-08 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-08_final
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final.stac-item
2021-02-23 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-02-23_final.stac-item
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final.stac-item
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final
2021-05-24 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-24_final.stac-item
2021-05-25 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-05-25_final.stac-item
2021-06-17 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-17_final.stac-item
2021-06-30 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-30_final.stac-item
2021-07-23 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-07-23_final.stac-item
2021-08-12 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-08-12_final.stac-item
2021-08-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-08-22_final.stac-item
2021-08-29 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2021-08-29_final.stac-item
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final.stac-item
2021-09-05 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2021-09-05_final.stac-item
2021-09-11 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-09-11_final.stac-item
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final.stac-item
2021-11-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-11-20_final.stac-item
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final.stac-item
2021-11-30 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2021-11-30_final.stac-item
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final.stac-item
2022-02-08 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final.stac-item
2022-02-08 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-02-08_final.stac-item
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final.stac-item
2022-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-14_final.stac-item
2022-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2022-04-02_final.stac-item
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final.stac-item
2022-07-08 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-08_final.stac-item
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final.stac-item
2022-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-09-19_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-10-16 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-16_final.stac-item
2022-11-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-11-08_final.stac-item
2022-11-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-11-22_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2022-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-12-09_final.stac-item
2023-01-07 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-07_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-03-05 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-03-05_final
2023-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2023-08-13_final
2023-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-09-25_final
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final
2023-10-28 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-10-28_final
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final
2023-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-11-20_final
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final
2023-12-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-03_final
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_final
2024-01-13 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2024-01-13_final
2024-01-26 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2024-01-26_final
2024-02-28 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2024-02-28_final
2024-03-19 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2024-03-19_final
2024-04-25 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-25_final
2024-05-08 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2024-05-08_final
2024-05-11 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-05-11_final
2024-05-18 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-05-18_nrt

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years